Results 131 to 140 of about 90,668 (272)
Ensemble Kalman filter in latent space using a variational autoencoder pair
The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans +4 more
wiley +1 more source
Exploring New Chemical Paths in Quantum AI: Preliminary Accomplishments and Future Perspectives
Two new strategies derived from Chemical AI to promote the advancement of sustainable quantum technologies are presented and discussed. The first strategy relies on the chemical implementation of molecular fuzzy sets, which are quantum mixed states associated with chemical microheterogeneous systems. The second strategy relies on photochromic compounds
Pier Luigi Gentili
wiley +1 more source
ABSTRACT With the continuous advancement of materials science and technology, the rare metal gallium has increasingly emerged as a promising alternative to the toxic metal mercury. Although existing research has predominantly focused on the high electrical conductivity and excellent deformability of liquid metal (LM), its intrinsic fluidic property ...
Feifan Guo +6 more
wiley +1 more source
In the present era of cutting-edge technologies powering electronic devices, energy systems, and modern telecommunication, a mathematical model called the telegraph equation plays a major role. It describes the wave propagation and diffusion processes in
Devshali Pratiksha, Singh Prince
doaj +1 more source
Dual phase lag two temperature fractional thermoelasticity in the context of Green Naghdi type II
The linear thermoelasticity theory without energy dissipation developed by Green Naghdi has been reconstructed using two-phase lags and two temperature theory in the framework of the fractional time derivative.
Sagar Sankeshwari, Vinayak Kulkarni
doaj +1 more source
Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño +6 more
wiley +1 more source
Ionogels dynamically and functionally couple ionic liquids with polymer networks, enabling multiscale programmable deformation and motion under electrical, magnetic, optical, thermal, humidity, and chemical stimuli. This article systematically elucidates the constituent components, structural design, and multiscale actuation mechanisms of ionogel ...
Dezhou Cao +5 more
wiley +1 more source
We identify biophysical motility parameters explaining how less aggressive EGFRwt‐overexpressing Glioblastoma cells become more infiltrative when influenced by aggressive EGFRvIII‐expressing cells. Using bulk assays and microfluidic chips, we show that EGFRvIII cells enhance velocity and persistence in EGFRwt cells via Src‐mediated communication ...
Fatima‐ezzahra Ait Mohand +5 more
wiley +1 more source
A patterned dual‐lubricant SLIPS creates interfacial energy asymmetry, guiding droplet migration without external actuation. Condensed droplets formed on the fluorinated‐oil‐infused regions migrate to the silicone‐oil‐infused domains, where rapid growth and coalescence occur.
Jinchul Yang +11 more
wiley +1 more source
ABSTRACT Timely detection of viral infections, particularly in settings outside centralized laboratories, is essential for controlling outbreaks. Small electrochemical biosensors are appealing because they are fast, require microliter sample volumes, and can be integrated into portable devices.
Pouya Soltan Khamsi +3 more
wiley +1 more source

